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Job offer: Data Scientist – Deep learning on music

Dear Machine Listening community,

Musimap is a B2B cognitive music intelligence company with the mission to empower companies and music users to enjoy music like never before. Our aim is to unleash music consumption through personalized music recommendation and innovative discovery tools. Musimap has developed a humanized semi-automated AI-based technology that enables emotion-sensitive music search and navigation through a granular database of 35 million tracks, 400 genres, 400 moods and 11,000 keywords.

We are looking for passionate, self-driven and eager minds to come work with us in a setting outside the ordinary. We are currently looking for a Data Scientist in the area of Deep Learning on Music to:

Research the state of the art machine learning and deep learning techniques in the field of music analysis

Prototype new algorithms with state of the art machine / deep learning frameworks in Python

Coordinate with a team of musicologists on the creation of an expert knowledge-base

Work on problems such as style analysis, mood analysis, vocal analysis, recommendation, etc

Implement working and scalable systems for large-scale audio and data analysis

Collaborate with the CTO, developers and other data scientists on product rollout

Help planning research, analysis and product roadmap

Do you want to join us at the intersection of hard sciences and soft sciences to disrupt consumption in the creative industries with ground-breaking AI-based technologies?

Do you want to apply your knowledge in real-world settings, on databases of 35+ million songs?

Do you want to join a team of resolute and zealous minds with a visionary spirit?